{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib\n",
    "[Matplotlib官网](https://matplotlib.org/)\n",
    "\n",
    "matplotlib是PYTHON绘图的基础库，是模仿matlab绘图工具开发的一个开源库。 PYTHON其它第三方绘图库都依赖与matplotlib。 本节课我们重点学习三种绘图方式：\n",
    "\n",
    "1. matplotlib绘制基础图形\n",
    "2. pandas plot API\n",
    "3. seaborn绘制统计图形\n",
    "\n",
    "我们可视化课程的重点是利用图形去理解数据，而不是注重图形的美观。因此本课程讲解的图形都是基于数据统计分析的简单图形，类似于雷达图这样的复杂图形不会在课程中讲解。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hello World"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1820bdc0080>]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号\n",
    "\n",
    "\n",
    "X = np.linspace(0, 2*np.pi,10)# 均匀的划分数据\n",
    "Y = np.sin(X)\n",
    "Y1 = np.cos(X)\n",
    "\n",
    "plt.title(\"Hello World!!\")\n",
    "plt.plot(X,Y,'o')\n",
    "plt.plot(X,Y1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1e3e73c78d0>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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b6ZXrroOhQ6F3b7tgw0GlGuyF5XiwXyghwU7TvPcenD4N7drBX/4Ct9yiK22U\n8hcnT9owf/tte82uSRMYORJuu63EV7AURkGDXVsKtGoFr70Ghw/DhAn2N/bQofYLO3GivVCrlPJN\nSUkwdizUrQtPPw0dO9op223b4M9/9qpQLwwN9p+ULQv33GNH8J99ZtfGjxxpA37yZMjJcbpCpZSn\nnDhhA71hQzuw69/f/uzPn2/n0QPcHY3urr4kBATYiyOrVsHXX0PNmjB8OLRsaVfXaP96pdwrPR2e\nfdauaHntNTvlunMnfPCB/Rn3ERrsv0cEeva0AT9vnp1vHzjQroXfsOHi/18p5T2MgZkz7RLnJ5+0\nq1oSEmDqVDtq9zEa7BcjAv362TAfP95+M7Rvb6dtftqYoJTyXhs3QrduP18IXbrUvvpu0cLpykqM\nBntBBQXZOffdu+GBB+y8e7Nm9iWcTs8o5X3S0uw8eocO9ud28mRYuxYuvdTpykqcBnthVapk5+bi\n4uz24WHD7JTNvn1OV6aU+slXX9kR+SuvwJ13wvbt9k+XXxQtKP94liWhbVtYscKue12zxi6bHDcO\n8vKcrkwp/3XqFNxxx8+biZYvh0mToEoVpysrVRrsxREYCKNGwebNdg5v9Gh7cfVAgXrhK6U8adEi\nu7Jl+nR4/HG7q7xbN6ercoQGuydER9uXfu++C+vWQevWOveuVGnJyID777etcCtWtCvZ/vUv29vF\nT2mwe4oI3HWXvQLfqpWdex8yxLYpUEqVjE2b7MXRN9+04R4fbzst+jkNdk+rXx9++AH++U/45BO7\nNHLtWqerUsq3GGOXH8fG2nn1RYvgjTcgLMzpyryCBntJCAyEJ56w62Vzcuw836uv6tSMUp5w+jQM\nGgT33msP0dm40bYBUP+lwV6Suna1F3D69LEdI2+6SadmlCqOTZvsVMu8efDii7BggWsbdZUkDfaS\nVqWK7f3+6qu2uVhMjP3mVEoVzrRp0Lmz7ffy/ffw8MN+sy69sPSzUhpEbAvQ77+Hc+fsN+eHHzpd\nlVLukJ1tp11uvx26dPHrZYwFpcFemrp3t9+UMTFw6612xKHtgJX6fUeP2oPox4+HRx6xF0l16uWi\nNNhLW/Xq8O23cN998PLL9titU6ecrkop77N2rR0ErVsHs2bBCy/oqWYFpMHuhJAQewzXu+/a6ZlO\nnWDHDqerUsp7zJoFl11mzyNescL2TVcFpsHupLvugiVLIDXVhvvXXztdkVLOysuDv//dbu7r2NH2\nYWrTxuk1/RXsAAAPTElEQVSqXEeD3Wndutlv3uho27jo7bedrkgpZ2RkwODBdnPfnXfaKcvISKer\nciUNdm9Qrx78+KOdb7/vPruCJjfX6aqUKj3HjsEVV9jd2i+9ZKcpQ0Kcrsq1NNi9RfnydtPF/ffD\n66/DjTfagwKU8nVbt9olwJs22ZONxo61S4RVkWmwe5PAQNvv4s034csv7Xbpo0edrkqpkrNkid2h\nnZlpW3D07+90RT5Bg90bjR5td6lu22Y3ZGzf7nRFSnnejBlw7bVQu7ZttatdGT1Gg91b9eljl0Km\np9sRzfLlTleklGcYA889B0OH2sUDy5dD3bpOV+VTNNi9WceOdiRTrRpcfbWdf1TKzXJz7SvSxx+3\nSxq/+goqV3a6Kp+jwe7t6te3I5p27Wx3SF0OqdwqM9O22337bXuB9IMP/PqUo5Kkwe4GERGweLGd\nnrnvPvjb37S3u3KX1FTbM33uXHjtNbukUTszlhj9zLpFeLidihk+3J7nOGKENhBT7pCUZNsDrFpl\nu5o++KDTFfk87ajjJkFBMGkS1Khhd+cdP25/UPQ4MOWtduywK19OnrSHYlx9tdMV+QUdsbuNCDz7\nrF3r/vnn9ocmNdXpqpT6X3FxtlX1TwdjaKiXGg12txo92o7WV63SjUzK+3z7rW0RUK6cbZfRoYPT\nFfkVDXY3u+UWmD8fdu+264H37HG6IqVsv5frr/+5B1Ljxk5X5Hc02N3ummvsipnUVPuyV89TVU56\n5x27pDEmxrYIqFXL6Yr8kga7L+jUCZYts71mLr/cjpKUKk3GwPPP29VavXrBN9/oxiMHeSTYRaSX\niOwQkd0i8qgn7lMVUosWNtAjI6FnT1i40OmKlL8wxp5H+thj9izfzz6zy3OVY4od7CISCIwDegMt\ngCEi0qK496uKoG5du0u1WTPo29deXFWqJOXk2L0VL79sN89Nn26Ps1OO8sSIPRbYbYzZa4zJBmYB\n/Txwv6ooqlX7uRXqbbfZ092VKglZWfYC/pQp9ji7N9/U3aRewhNfhdrAoQveT8z/2C+IyAgRiROR\nuOPHj3vgYdXvqljRNle6/nq49167mUlbEChPOnvWfn99+qltEfCPf+jhGF6k1H69GmMmGWNijDEx\nkXqOYckLC7M/dEOH2tHUX/5iDwpWqrhOnoSrrrKbjqZO1RYBXsgTLQUOA1EXvF8n/2PKacHBMG0a\nVKliR1WnTtnlaEHaSUIVUWKiXWK7d68dOPTt63RF6jd44id8LdBYROpjA30wcKsH7ld5QkCAPUO1\nalV46ikb7rNmQWio05Upt9m504Z6SgosWmSX1iqvVOxgN8bkiMhoYBEQCEwxxmwpdmXKc0TgySft\nyH3MGLvO+PPPoUIFpytTbrFunf2+ATsF0769o+WoP+aR1+TGmAXAAk/clypBo0fbcP/Tn2wfj4UL\n7Soapf7I99/bKZfKle3GoyZNnK5IXYSuTfI3t95qR+vbttkWBPv3O12R8mbz5tmRelSU3QCnoe4K\nGuz+qHdv233v+HG73j0hwemKlDeaPBkGDoS2bW3flzp1nK5IFZAGu7/q2tX2lxGxp9tofxn1k5/6\nvgwfbttTLF5sL74r19Bg92ctW8KKFXae/eqr4YsvnK5IOS0vDx566Oe+L59/DmXLOl2VKiQNdn/3\nU3+ZVq3gxhvty2/ln7KybBuK11+HBx6wfV9CQpyuShWBBruyHSG/+86O2ocP1xYE/ujMGdsiYNYs\neOEFu6FN+764ln7llFWunJ2KGTbMtiAYNcp27lO+LynJXmf54Qe7U/mRR7Tvi8vp3nL1s59aENSu\nbS+eJSXZ1r86x+q7tm61q6RSUuwxi9de63RFygN0xK5+SQSeew7GjYMvv4Qrr4TkZKerUiVh6VJ7\nVm52th2ta6j7DA129dvuvRfmzLFr3Dt3hu3bna5IedLMmXYpY/XqsHKltgjwMRrs6vf172+3k587\nZ9e9L13qdEWquIyBf/3Lrn7p0sUud61Xz+mqlIdpsKs/FhsLq1bZkV3PnvD++05XpIoqOxvuugv+\n9jcb7IsW2d5ByudosKuLq1/fjuy6d7cNxJ54Qg/tcJsTJ+wv5vfes50+p0+HMmWcrkqVEA12VTCV\nK9vj9u6+G/79bxg0CNLTna5KFcT27fY6yerVMGMGPPOMLmf0cRrsquCCg2HiRHj1VXt6TrducPCg\n01WpP7JwIXTqZDcgLVli2wQon6fBrgpHBP78Z7vmee9eiImxLQmUdzEGXnrJ7iZt0ADi4uzFUuUX\nNNhV0Vx3nX1pX6mSXes+YYK2IfAW6el2B/Ejj8BNN9lfvNHRTlelSpEGuyq6Zs1suF91lW1BMHw4\nZGY6XZV/27PHjsxnzrQ9fz76SHcO+yENdlU8lSvbaZm//x2mTLErZw4ccLoq/7RggZ0aO3TIzq0/\n8YReJPVTGuyq+AID4R//gM8+g127oF077e1emnJybP/066+3bZjj4rQ9gJ/TYFee07evPc2+Xj37\n90cegfPnna7KtyUl2amw55+3S1FXrrQXS5Vf02BXntWwod3MNGqUXZVx2WV29YzyvC+/tOeRxsXZ\nDUeTJkFYmNNVKS+gwa48LzQU3n7bXrjbts2Gz8yZTlflOzIzYcwY6NMHatWywT50qNNVKS+iwa5K\nzqBBsHEjtG5te5PcdhucOuV0Ve62fj107AhvvQUPPmj7+DRv7nRVystosKuSVbeu7RD5zDMwe7Y9\nQPurr5yuyn1ycuDZZ21TtpMn7QqY116zr46U+hUNdlXygoJs46lVq+zyyN697Zp3Hb0XzKZNdm36\nk0/CzTfD5s32c6jU79BgV6WnQwc7H/zIIzB1KrRoYQ/z0B2rvy0z065F79DB7g2YPdteq9BWu+oi\nNNhV6QoNhRdegDVroGZNu+W9Xz/Yt8/pyrzL119Dmza2k+bQofYi9M03O12VcgkNduWM9u1tuL/0\nEnz3nR29P/MMZGQ4XZmzDhyAgQPtBiNjbMC/9x5Urep0ZcpFNNiVc4KCYOxY2y+8Xz94+mm7wmPG\nDP87yOP0aTvt0qyZvbj873/b82Z79nS6MuVCGuzKeXXqwKxZduRepYqdeujYERYv9v3596wsu3Sx\nUSMb5gMG2GmXxx7TE45UkWmwK+9xxRU/76I8cQKuvhp69LAHRPiarCzb6rhxY7vZqFUr+9xnzNAW\nu6rYNNiVdwkIsCP2HTvgP/+xTcWuvNK2JvjiC/dP0Zw9C6+/bgN91CioXdseKr14sV39opQHaLAr\n7xQaakeye/fCG2/A/v22sViLFvZ4vrQ0pyssnP374a9/hagoewJV3bo20FesgGuu0fa6yqM02JV3\nCw2F+++3B0jMnGkPjRg50i6VHDnSTl946zx8djbMnWs3EzVoAC+/bFe7rF4Ny5ZpoKsSI8aBH4qY\nmBgTFxdX6o+rfIAxdgfrpEm2yVhGBjRtCoMH27dmzZytLycHli6FDz+0m69OnbLTLcOHw5136vy5\nKhYRiTfGxFz0dsUJdhG5GXgaaA7EGmMKlNYa7MojUlPtbsxZs2w/GmPs6pLrrrOj5O7doVy5kq8j\nKcnOkS9YYKdXTp2yj9u/PwwZYkfmQUElX4fyeaUV7M2BPGAiMFaDXTkmKclOeyxYYJdNZmbak53a\ntIFu3eypTq1a2Tn68PCiP87x47ZXS0ICrF1rD4rev9/+W/Xq9pfK9dfbXyzFeRylfkOpBPsFD/Y9\nGuzKW2Rk2Dns5cvhxx/t1E16uv03ETs/Hx1t3yIioGJF+xYSYm9jjL396dP27ehROHjQvl3YuKxG\nDftLo3t3u2qnbVu7qkepElLQYC+114ciMgIYARCt84yqJIWF2emPa66x7+fm2ouvCQmwZYsdYR88\naHubp6TYKZ3c3P+9n9BQG/jVqtlVLN262ROiWrWyb9Wr68VP5ZUuOmIXkW+BGr/xT08YYz7Lv833\n6IhdudVPI/ScnJ8/Fhb28wheKS/hsRG7MeZqz5SklJcSscsolfIROiGolFI+pljBLiI3ikgi0AX4\nUkQWeaYspZRSReXIBiUROQ4cKOJ/jwBOeLAcJ7j9OWj9znP7c3B7/eDMc6hrjIm82I0cCfbiEJG4\nglw88GZufw5av/Pc/hzcXj9493PQOXallPIxGuxKKeVj3Bjsk5wuwAPc/hy0fue5/Tm4vX7w4ufg\nujl2pZRSf8yNI3allFJ/wFXBLiK9RGSHiOwWkUedrqewRGSKiCSLyGanaykKEYkSkSUislVEtojI\nA07XVBgiEioia0RkY379zzhdU1GISKCIrBeR+U7XUhQisl9EEkRkg4i4rreIiFQSkU9EZLuIbBOR\nLk7X9GuumYoRkUBgJ9ATSATWAkOMMVsdLawQROQyIA143xjT0ul6CktEagI1jTHrRKQ8EA/0d8vX\nQEQEKGuMSRORYGA58IAxZpXDpRWKiDwExAAVjDF9nK6nsERkPxBjjHHlOnYRmQYsM8a8KyIhQLgx\nJtXpui7kphF7LLDbGLPXGJMNzAL6OVxToRhjlgIpTtdRVMaYI8aYdfl/PwtsA2o7W1XBGeunw1KD\n89/cMbLJJyJ1gOuBd52uxR+JSEXgMmAygDEm29tCHdwV7LWBQxe8n4iLQsXXiEg9oB2w2tlKCid/\nGmMDkAx8Y4xxVf3A68Aj2ANu3MoA34pIfH47bzepDxwH3sufDntXRLyug5ybgl15CREpB8wBHjTG\nnHG6nsIwxuQaY9oCdYBYEXHNlJiI9AGSjTHxTtdSTN3zvwa9gfvypyjdIghoD4w3xrQDzgFed73P\nTcF+GIi64P06+R9TpSh/bnoOMMMY86nT9RRV/svnJUAvp2sphG5A3/w56lnAlSLygbMlFZ4x5nD+\nn8nAXOw0q1skAokXvNL7BBv0XsVNwb4WaCwi9fMvWAwGPne4Jr+Sf/FxMrDNGPOq0/UUlohEikil\n/L+HYS/Eb3e2qoIzxjxmjKljjKmH/f7/zhgz1OGyCkVEyuZfeCd/CuMawDWrxIwxR4FDItI0/0NX\nAV63eMA1R6cbY3JEZDSwCAgEphhjtjhcVqGIyIdADyAiv93xU8aYyc5WVSjdgGFAQv48NcDjxpgF\nDtZUGDWBafkrrAKA2cYYVy4ZdLHqwFw7RiAImGmM+crZkgptDDAjf4C5F7jD4Xr+h2uWOyqllCoY\nN03FKKWUKgANdqWU8jEa7Eop5WM02JVSysdosCullI/RYFdKKR+jwa6UUj5Gg10ppXzM/wPzw30W\nTllhGQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3e75306d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X = np.linspace(0, 2*np.pi,100)\n",
    "Y = np.sin(X)\n",
    "plt.subplot(211) # 等价于 subplot(2,1,1)\n",
    "plt.plot(X,Y)\n",
    "\n",
    "plt.subplot(212)\n",
    "plt.plot(X,np.cos(X),color = 'r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BAR CHART\n",
    "A bar chart or bar graph is a chart or graph that presents categorical data with rectangular bars with heights or lengths proportional to the values that they represent. The bars can be plotted vertically or horizontally\n",
    "\n",
    "<img src=\"http://wx4.sinaimg.cn/mw690/d409b13egy1fo5lwgz9ddj218g0gojsu.jpg\" width = \"500\" height = \"300\" alt=\"图片名称\" align=center />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Verticle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 4 artists>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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APNLlexL4VLf9mNh/e+abaP/1SlFJaoRXikpSIyx0SWqEhS5JjbDQJakRFrokNcJCl6RG\nWOiS1AgLXZIa8f/ytZZhMyNAWgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [5,25,50,20]\n",
    "plt.bar(range(len(data)),data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Horizontal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Container object of 4 artists>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JgST7ksx0bUOZ/4oLgCRjwFeAy4FzgWuTnDvaUZ1xXwO2LWh7K2stvJ2dBD5bVecCFwM3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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3e75300b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [5,25,50,20]\n",
    "plt.barh(range(len(data)),data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 多个bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1e3e761ec50>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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a2u7DOnqi/yJiGLie6bO3c/VMH16gRmi5HyOiLyIOASeBPZnZU/1Yoz7ogd/FpRropfgh\nsCozfxv4W+DRlutZanqi/yLiQ8A3gc9n5uk2auikQ42t92NmTmXmBqavOL8xIj6y2DVcSI36Wu9D\nWLqBXue2A7VuTdBFHdvPzNPv/CmX03P6+yPiysUrsaO2+/CCeqH/IqKf6aD8emZ+a4ZDWu/DTjX2\nQj+eU8vPgf3AxvN2td6PMHt9vdKHSzXQ69x2YDdwT/Xp+E3ALzLzWC/VGBFXRUzfsScibmT6v8fk\nItbYSdt9eEFt91/V9sPAS5n5lVkOa7UP69TYA/04GBGXV8uXArcDR847rLV+rFNf2334jq7fbbEb\ncpbbDkTEfdX+v2f6CtY7gJ8A/wP8SQ/W+EfAn0bE28CbwJasPjJfDBExzvSn81dGxATwINMf+PRE\nH9aor9X+Az4B3A28UI2vAnwBWHVOja32Yc0a2+7HlcBYTH9pzgeAnZn5WA/9/1ynvrb7EPBKUUkq\nxlIdcpEkncdAl6RCGOiSVAgDXZIKYaBLUiEMdEkqhIEuSYUw0CWpEP8PB2fOHiaMt8AAAAAASUVO\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3e761e470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [[5,25,50,20],\n",
    "        [4,23,51,17],\n",
    "        [6,22,52,19]]\n",
    "X = np.arange(4)\n",
    "\n",
    "plt.bar(X + 0.00, data[0], color = 'b', width = 0.25,label = \"A\")\n",
    "plt.bar(X + 0.25, data[1], color = 'g', width = 0.25,label = \"B\")\n",
    "plt.bar(X + 0.50, data[2], color = 'r', width = 0.25,label = \"C\")\n",
    "\n",
    "plt.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stacked"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tkzrmm5J8LskDSQ4nedcifSZy3AesfVLH/flJ7kpyX1f7ny7SZ3LGvaqa+8PcD8D/Dvw8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\napxBL0mNM+glqXEGvSQ1zqCXpMb9H9TXt+zvAZ2LAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110425438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = [[5,25,50,20],\n",
    "        [4,23,51,17],\n",
    "        [6,22,52,19]]\n",
    "X = np.arange(4)\n",
    "\n",
    "plt.bar(X, data[0], color = 'b', width = 0.25)\n",
    "plt.bar(X, data[1], color = 'g', width = 0.25,bottom = data[0])\n",
    "plt.bar(X, data[2], color = 'r', width = 0.25,bottom = np.array(data[0]) + np.array(data[1]))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SCATTER POINTS\n",
    "<img src=\"http://wx4.sinaimg.cn/mw690/d409b13egy1fo5lw4ermvj207e05amx0.jpg\" width = \"500\" height = \"500\" alt=\"图片名称\" align=center />\n",
    "\n",
    "散点图用来衡量两个连续变量之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1e3e795a390>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hl3ZMT0/nzMzMSL62NIgaFrioXBFxMDOnex1nWUbqUw237KqfZRlJqpDhLkkVMtwlqUKG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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3e78f8160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "N = 50\n",
    "x = np.random.rand(N)\n",
    "y = np.random.rand(N)\n",
    "\n",
    "plt.scatter(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2926a5b4d30>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "N = 50\n",
    "x = np.random.rand(N)\n",
    "y = np.random.rand(N)\n",
    "colors = np.random.randn(N)\n",
    "area = np.pi * (15 * np.random.rand(N))**2  #  调整大小\n",
    "\n",
    "plt.scatter(x, y, c=colors, alpha=0.5, s = area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x274051c8748>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pr/Kpqhk2hTzhTUjkLkRKl7vuZ/ZB/Os5g56nTIEEzU0gexyNfw1iv1zwzebK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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "N = 50\n",
    "x = np.random.rand(N)\n",
    "y = np.random.rand(N)\n",
    "colors = np.random.randint(0,2,size =50)\n",
    "plt.scatter(x, y, c=colors, alpha=0.5,s = area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Histogram\n",
    "\n",
    "A histogram is an accurate representation of the distribution of numerical data. It is an estimate of the probability distribution of a continuous variable (quantitative variable) and was first introduced by Karl Pearson.[1] It is a kind of bar graph. To construct a histogram, the first step is to \"bin\" the range of values—that is, divide the entire range of values into a series of intervals—and then count how many values fall into each interval. The bins are usually specified as consecutive, non-overlapping intervals of a variable. The bins (intervals) must be adjacent, and are often (but are not required to be) of equal size.\n",
    "\n",
    "__解释:直方图是用来衡量连续变量的概率分布的。在构建直方图之前，我们需要先定义好bin（值的范围），也就是说我们需要先把连续值划分成不同等份，然后计算每一份里面数据的数量。__\n",
    "\n",
    "<img src=\"http://wx2.sinaimg.cn/mw690/d409b13egy1fo5lwbw21uj20fk0boa9z.jpg\" width = \"500\" height = \"300\" alt=\"图片名称\" align=center />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 15)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n/g+eijF57ivqDwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3e79ba390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = np.random.rand(100)\n",
    "plt.hist(a,bins= 20)\n",
    "plt.ylim(0,15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Standard Normal Distribution')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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t87Tla1p9SdI8GLZH/17g9cCP2/yhwL1V9XCbHwGWtellwDaAtvy+Vv8RkqxPsjnJ5tHR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\npJ4z6CWp5wx6Seo5g16Seu7/A5vL5hrLjrqEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = np.random.randn(10000)\n",
    "plt.hist(a,bins=50)\n",
    "plt.title(\"Standard Normal Distribution\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BOXPLOTS\n",
    "boxlot用于表达连续特征的百分位数分布。统计学上经常被用于检测单变量的异常值，或者用于检查离散特征和连续特征的关系\n",
    "\n",
    "<img src=\"http://wx1.sinaimg.cn/mw690/d409b13egy1fo5lw7l1u7j207405hdfm.jpg\" width = \"300\" height = \"300\" alt=\"图片名称\" align=center />\n",
    "\n",
    "\n",
    "<img src=\"https://gss0.bdstatic.com/94o3dSag_xI4khGkpoWK1HF6hhy/baike/c0%3Dbaike80%2C5%2C5%2C80%2C26/sign=4e5ee1bdacaf2eddc0fc41bbec796a8c/aa18972bd40735fade9ad1029e510fb30f240826.jpg\" width = \"300\" height = \"300\" alt=\"图片名称\" align=center />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.LineCollection at 0x2740794d390>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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dDbwTuHS8lY2PQT9CSV4EXAvMYtBPs4uBxXEXoTXbCTxdVX92pqGqHqqqvx1jTWM1qjNj\nteRG4BNV9fkkp5O8qqoeHHdRWpMXJHkIeD5wGfDaMdejtdsOHB13EZPEEf1o7Wbpgm50z7vHWIvO\nzZmpm6uA64EPdFMC0tTxOPoRSfJili4FcZKl6/ys655fVr7pEy/J16rqRcuWnwK+v6pOjrEsrUGS\nXcBtVfXj465lUjiiH503Ax+oqpdV1cur6nLgC8COMdelc9QdMbUO+Pdx16I1+STwvCS/fKYhyY8k\n+Ykx1jRWBv3o7Gbpm//lPgL87Bhq0bl7QXd45UPAHcCeqvrGuIvS6rr/Mb8JeF13eOXDwO2cxxdW\ndOpGkhrniF6SGmfQS1LjDHpJapxBL0mNM+glqXEGvSQ1zqCXpMb9DygPun1QOFNzAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.randint(20,100,size = (30,3))\n",
    "\n",
    "plt.boxplot(x)\n",
    "plt.ylim(0,120)\n",
    "plt.xticks([1,2,3],['A','B','C'])\n",
    "plt.hlines(y = np.mean(x,axis = 0)[1] ,xmin =0,xmax=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([65.16666667, 68.56666667, 55.56666667])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(x,axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([65.5, 76. , 52.5])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.median(x,axis = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COLORS/TEXTS/annotate\n",
    "\n",
    "\n",
    "** NAMED COLORS**\n",
    "![color](https://matplotlib.org/_images/sphx_glr_named_colors_001.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x274079bd0b8>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FWdZ60OdsziF3Sy4AAXV6VCAi4iseBf3ZuN3uM46ZTKZWz7Wl2LCl2ABYl77Om2WIiMg/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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(facecolor='darkseagreen')\n",
    "data = [[5,25,50,20],\n",
    "        [4,23,51,17],\n",
    "        [6,22,52,19]]\n",
    "X = np.arange(4)\n",
    "\n",
    "plt.bar(X, data[0], color = 'darkorange', width = 0.25,label = 'A')\n",
    "plt.bar(X, data[1], color = 'steelblue', width = 0.25,bottom = data[0],label = 'B')\n",
    "plt.bar(X, data[2], color = 'violet', width = 0.25,bottom = np.array(data[0]) + np.array(data[1]),label = 'C')\n",
    "ax.set_title(\"Figure 1\")\n",
    "plt.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "增加文字\n",
    "```python\n",
    "plt.text(x, y, s, fontdict=None, withdash=False, **kwargs)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1e3ef68db38>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Feyman\\Anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n",
      "  (prop.get_family(), self.defaultFamily[fontext]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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3PqyrPrB3//n5wbBh5gupuNj0Ke/Uybf+HbpTI9i7H/39ISkJbrjBfNkuXgy3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3ef603160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(facecolor='teal')\n",
    "data = [[5,25,50,20],\n",
    "        [4,23,51,17],\n",
    "        [6,22,52,19]]\n",
    "X = np.arange(4)\n",
    "\n",
    "plt.bar(X+0.00, data[0], color = 'darkorange', width = 0.25,label = 'A')\n",
    "plt.bar(X+0.25, data[1], color = 'steelblue', width = 0.25)\n",
    "plt.bar(X+0.50, data[2], color = 'violet', width = 0.25,label = 'C')\n",
    "ax.set_title(\"Figure 2\")\n",
    "plt.legend()\n",
    "# 添加文字描述\n",
    "W = [0.00,0.25,0.50]\n",
    "for i in range(3):\n",
    "    for a,b in zip(X+W[i],data[i]):\n",
    "        plt.text(a,b,\"%.0f\"% b,ha=\"center\",va= \"bottom\")\n",
    "plt.xlabel(\"Group\")\n",
    "plt.ylabel(\"Num\")\n",
    "plt.text(0.0,48,\"TEXT\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "在数据可视化的过程中，图片中的文字经常被用来注释图中的一些特征。使用annotate()方法可以很方便地添加此类注释。在使用annotate时，要考虑两个点的坐标：被注释的地方xy(x, y)和插入文本的地方xytext(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'这是一副测试图！')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xirFuqRNq3749Bw8e5Ny5c3+9t3btWho3blyiOkKurq4MaVuT6xoGsWzvWXLy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\nDpNyNavsTrT9K6Pkw4A3wM2j7M7jJJb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vqnI10Npk1UBNjSvKg8UPO1cHNe8EaS/AZb1r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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "X = np.linspace(0, 2*np.pi,100)# 均匀的划分数据\n",
    "Y = np.sin(X)\n",
    "Y1 = np.cos(X)\n",
    "\n",
    "plt.plot(X,Y)\n",
    "plt.plot(X,Y1)\n",
    "plt.annotate('Points',\n",
    "         xy=(1, np.sin(1)),\n",
    "         xytext=(2, 0.5), fontsize=16,\n",
    "         arrowprops=dict(arrowstyle=\"->\"))\n",
    "plt.title(\"这是一副测试图！\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "?plt.annotate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "想要让matplotlib正确的显示中文，我们需要进行一行特殊的设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [Subplots](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplots.html?highlight=subplots#matplotlib.pyplot.subplots)\n",
    "```python\n",
    "matplotlib.pyplot.subplots(nrows=1, ncols=1, sharex=False, sharey=False, squeeze=True, subplot_kw=None, gridspec_kw=None, **fig_kw)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用 **subplot** 绘制多个图形\n",
    "```python\n",
    "subplot(nrows, ncols, index, **kwargs)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\feyman\\Anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:6462: UserWarning: The 'normed' kwarg is deprecated, and has been replaced by the 'density' kwarg.\n",
      "  warnings.warn(\"The 'normed' kwarg is deprecated, and has been \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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fT5IU7OrScjy+6aa9PDWl8MDAxvHOTk0MDsqyLG7OAFCmD7nXLsfjCnZ1yWa3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\nTgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "pylab.rcParams['figure.figsize'] = (10, 6) # 调整图片大小\n",
    "\n",
    "np.random.seed(19680801)\n",
    "\n",
    "n_bins = 10\n",
    "x = np.random.randn(1000, 3)\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2,facecolor='darkslategray') \n",
    "ax0, ax1, ax2, ax3 = axes.flatten()\n",
    "\n",
    "# colors = ['red', 'tan', 'lime']\n",
    "# ax0.hist(x, n_bins, normed=1, histtype='bar', color=colors, label=colors)\n",
    "# ax0.legend(prop={'size': 10})\n",
    "# ax0.set_title('bars with legend')\n",
    "\n",
    "ax1.hist(x, n_bins, normed=1, histtype='bar', stacked=True)\n",
    "ax1.set_title('stacked bar')\n",
    "\n",
    "ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False)\n",
    "ax2.set_title('stack step (unfilled)')\n",
    "\n",
    "# Make a multiple-histogram of data-sets with different length.\n",
    "# x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]\n",
    "# ax3.hist(x_multi, n_bins, histtype='bar')\n",
    "# ax3.set_title('different sample sizes')\n",
    "\n",
    "fig.tight_layout() # Adjust subplot parameters to give specified padding.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  4.00000000e+00,   1.50000000e+01,   6.80000000e+01,\n",
       "          2.76000000e+02,   9.79000000e+02,   2.57500000e+03,\n",
       "          5.79200000e+03,   1.03460000e+04,   1.51190000e+04,\n",
       "          1.79280000e+04,   1.73050000e+04,   1.35680000e+04,\n",
       "          8.65600000e+03,   4.61600000e+03,   1.87900000e+03,\n",
       "          6.31000000e+02,   1.97000000e+02,   3.70000000e+01,\n",
       "          7.00000000e+00,   2.00000000e+00]),\n",
       " array([  0.15026293,   0.64387908,   1.13749522,   1.63111136,\n",
       "          2.12472751,   2.61834365,   3.11195979,   3.60557594,\n",
       "          4.09919208,   4.59280822,   5.08642437,   5.58004051,\n",
       "          6.07365665,   6.5672728 ,   7.06088894,   7.55450508,\n",
       "          8.04812123,   8.54173737,   9.03535351,   9.52896966,  10.0225858 ]),\n",
       " <a list of 20 Patch objects>)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Feyman\\Anaconda3\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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1m+UzP5ZDfEnOJrmc5NQ41i9Jat+Gj6CSnAC2VdXhJC8k2V9VH250O25xhKSt9L2S5bg/\nbA13ywhrHIf4poDz3fRF4Ajw14BKchI42T29meSPa7TeB4A/r9FrrZUW2wRttmusbcq/Lzmrb7v+\nZuR1L79PtLi9BtnGtbPu7fySz3tfy7Wx1/4wjoDaCVzrpueAry+cWVVngDNrvdIkM1U1udavuxot\ntgnabFeLbYKNaddy+0SrfbOQbVw7d0M716qN4zgHdRPY0U3vGlMbJEmNG0c4XGH+sB7AQeDqGNog\nSWrcOA7x/QaYTrIXOAYc2qD1rvlhwzXQYpugzXa12CZoo10ttGE5tnHt3A3tXJM2pqrW4nVWttJk\nN3AU+H1VfbrhDZAkNW8sASVJ0nK8QEGS1KQtFVBJ9iT5r3G3AyDJ/Ul+m+RCkl8nubeBNjV3h48W\n++mWjf489dk+49yGfbZVku1JPk5yqXsc2OA29lr/mPvxiQXt+0OSF4csM7Z+7D730wue9+qrUfp0\nSwUU8B/cvsR93H4APF9VR4FPge+NszEL7/AB7E2yf5ztWaCpfhqwYZ+nPtungW3YZ1s9BLxaVVPd\n470NbWGP9Y+7H6vq9K32AdPAr4YsNpZ+7K4feIn577P27qtR+3TLBFSSR4D/ZX7HGbuqeqGqLnRP\nJ4A/jbM9DL/Dx9g12E/AWD5PUyy/ffoss256bqtDwPEkbyZ5OclGX0ncZ/1TNLAvJPka8NWqmhky\ne1z9+AXwOPM3WYD+fdV3uTtsyoBK8uKCoe+lJD8Ffgo81VibSPItYHdVvTWutnUG7/CxZ4xtWaSh\nfqI7dLXRn6c+26eJbbjMtnobeLiqjgCfAY9uaOP6rb+JfgSeBE4vMW8s/VhVc1V1Y0Gpb1+N1Keb\n8uc2quqfFz7vwuCXVfVZkibaBJDkK8AvgO9vfIsWafYOH431E8wH00Z/nvpsn7Fvwx7b6t2q+ryb\n/gDY6MOQfdbfQj/eAzwCPL3EIuPux1v69tVIfdrMP0Lr7B+BJ5NcAv4+yX+OuT23/hd+HvhxVX00\n7vbQ6B0+GuwnGM/nqc/2Ges27LmtziU5mGQbcBx4Z8Ma2H/9LewL3wHeqqW/BzTufrylb1+N1qdV\ntaUewKVxt6FrxxPAdeBS93h8zO25j/kP+fPAfwP3j7uPWuynIe27NKbtcxD4t5a24ZBt9S9D2vh3\nwLvAe8DPxrC97lg/8Let9WPXhp8DJ7rpYW0cdz9eWqqv1rJP/aKu/so7fLStz/ZxG64N+7G/vn01\nSp8aUJKkJm2Vc1CSpLuMASVJapIBJUlqkgElSWqSASVJatL/A2d6keMfy897AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3e7a32278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ShareX or ShareY\n",
    "N_points = 100000\n",
    "n_bins = 20\n",
    "\n",
    "# Generate a normal distribution, center at x=0 and y=5\n",
    "x = np.random.randn(N_points)\n",
    "y = .4 * x + np.random.randn(100000) + 5\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, sharey=True, tight_layout=True)\n",
    "\n",
    "# We can set the number of bins with the `bins` kwarg\n",
    "axs[0].hist(x, bins=n_bins)\n",
    "axs[1].hist(y, bins=n_bins)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [PANDAS API](http://pandas.pydata.org/pandas-docs/stable/visualization.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "df = pd.read_csv(\"NBAPlayers.txt\",sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>height</th>\n",
       "      <th>weight</th>\n",
       "      <th>collage</th>\n",
       "      <th>born</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>birth_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Curly Armstrong</td>\n",
       "      <td>180.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>Indiana University</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cliff Barker</td>\n",
       "      <td>188.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>University of Kentucky</td>\n",
       "      <td>1921.0</td>\n",
       "      <td>Yorktown</td>\n",
       "      <td>Indiana</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Leo Barnhorst</td>\n",
       "      <td>193.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>University of Notre Dame</td>\n",
       "      <td>1924.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ed Bartels</td>\n",
       "      <td>196.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>North Carolina State University</td>\n",
       "      <td>1925.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ralph Beard</td>\n",
       "      <td>178.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>University of Kentucky</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>Hardinsburg</td>\n",
       "      <td>Kentucky</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Player  height  weight                          collage    born  \\\n",
       "0  Curly Armstrong   180.0    77.0               Indiana University  1918.0   \n",
       "1     Cliff Barker   188.0    83.0           University of Kentucky  1921.0   \n",
       "2    Leo Barnhorst   193.0    86.0         University of Notre Dame  1924.0   \n",
       "3       Ed Bartels   196.0    88.0  North Carolina State University  1925.0   \n",
       "4      Ralph Beard   178.0    79.0           University of Kentucky  1927.0   \n",
       "\n",
       "    birth_city birth_state  \n",
       "0          NaN         NaN  \n",
       "1     Yorktown     Indiana  \n",
       "2          NaN         NaN  \n",
       "3          NaN         NaN  \n",
       "4  Hardinsburg    Kentucky  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e3f3cda908>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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//Gci533du/dkXXt5eVmsw+7Viz2ZSiAQYMqUaZx1d+zI3oo0IMDyzGhrm4n0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3d1f0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x = \"height\",y = \"weight\",c = \"born\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e3f5bb0518>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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R0ZE2bdoA8OjRo2LnhkHB2I7hw4dz5MgR5syZw8SJE0lKSmLbtm3o6Oiwfv36J2aiOTg4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\npTzvR0VFYW5uzuTJk7l69SoRERFKdP6fSbNz586xb98+IiMjSU1Nxd3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eAAAG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\nU6QfXewA6SiViMcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f5bbef60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['birth_state'].value_counts()[:50].plot.barh()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2c8ee442eb8>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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odVUVcAP1raxPMPVJFkPplClTtGbNGi1cuFDh4eHec0CjoqJ02WWX6fjx41qwYIFuvPFG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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c885493390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = df.groupby(\"birth_state\")\n",
    "gs = grouped.size()\n",
    "gs[gs >=10].sort_values().plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e3f5761e10>"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ftm2bNmzY4D7ADQAACGwe7UXfuXNn96Z5AAAQ+Dyawbdp00a//OUv1bt37zo/l3v22We9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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f59f6b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['height','weight']].plot.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e3f5768198>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hv/zlL7rlllt06tSpSw58AwAA9ojpO/LXX39dxcXFevLJJ3X27FlNnjxZ27dvtzobAACI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\ng/0/HmvW4qmwMHEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f40d6208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df4 = pd.DataFrame({'a': np.random.randn(1000) + 1, 'b': np.random.randn(1000),\n",
    "                     'c': np.random.randn(1000) - 1}, columns=['a', 'b', 'c'])\n",
    "df4.plot.hist(alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e3f6051d68>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MRRUj3NXVFQMDA9HT0xPlcjm2bt0afX19MTY2Ftdff33s3bs3PvvZz8bXv/71iIhYt25d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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f5ff5c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.DataFrame(np.random.rand(10, 5), columns=['A', 'B', 'C', 'D', 'E'])\n",
    "df.plot(kind = \"box\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sseaborn: statistical data visualization\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the distribution of a dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "tips = sns.load_dataset(\"tips\")\n",
    "iris = sns.load_dataset(\"iris\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b15bc88>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5JgsKgPcP1omOQ2GOJRzBRoaiOSua6DyFs+xIjY/CoZNtaO8ZEB2HwhhLOEIp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\nmIiISBCWMBERkSAsYSIiIkH+f1w8SwvLCT/UAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b0462b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris.sepal_length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "?sns.distplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11b1d8208>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YnPkCAGAY4QsAgGGELwAAhhG+AAAYRvgCAGAY4QsAgGGELwAAhhG+AAAYRvgCAGAY4QsA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\nCwCAYYQvAACGEb4AABhG+AIAYNj/A5r316e+03LtAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b370be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris.sepal_length,bins = 20,kde = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11c50dda0>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c5e62b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 多个变量在一幅图中比较\n",
    "sns.distplot(iris.sepal_length,bins = 20,kde = False)\n",
    "sns.distplot(iris.sepal_width,bins = 20,kde = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ce77390>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ExUfvC1fYZ6pcTWILBIPUtTiobemjvtXByQ4nHb0D9Di85/wag15LujWJ3KI0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\n/R2HcPs9apdzmgGPn/U7G7G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GifJgfnt7bP+W1DHQyQ92PI436OO+BV8l15KN3W6L+bpH\nK5Hb1trt4tevHaamsZey/BT+deVsUiwX/kOhx9PLq8ffYmvzThQUpqRP4uZJ11Nki431xIn83oG0\nLx4drO3iz/+oobalH61GwyWzc/nk0gkJdyb3aN47u9121s9LCH+E2+/mh7ueoNnZyh1Tb2VJ/gIg\nMb9ZQhKxbYqisPVgK8+8dQS3N8Cy2XncsaIco2F05z83OZr5y7HXONxVDcD87DlcP/Eqcsz2cJY9\nYon43n2UtC8+KYrCsRYHT796kOZOF3qdluXzCrhuUcmIfgmOZeEMYdkx6xRvwMvP9z9Ns7OVSwuX\nDgWwiC8dvQM88/dqDhzvJMmg497b5zGjOG1Mr1lgzeNfKj7P4a5q/lbzBrva9rGn/QCLci/iuglX\nkp48ttcXIpFoNBqWzM5nYo6FzZUtvPLBCd7a0cA7u5tYMjOHqxYUk59lUbvMmCEhzGAP+FcHnuFo\nz3Eq7LNYOekGtUsSIzTg8fPmtnr+vqMery/I9NJ07rp6CjPKc8LW25iWUc7U9Mnsba9k3fG/s7l5\nO9tbdrGscDFXlyzHZjz3vWYhxhudVsuy2fksmp7Lxn0neWtHPRv3NbNxXzOzyzK5ekERU0vSY2qe\nhRrGfQh3DnTzqwO/o8FxkllZ0/k/M9ag045u2FJEn8vt4729J3ljWz2OAR8pFiN3XlXGkpm5Efnm\n1mg0zM2exRz7DLa37Oa1E2/zbsMHbD65neVFy7ii+BOY9KawX1eIeGXQa7lifiGXzy1gz9F2/r69\ngf01neyv6SQ7zcSSmbksmplLdtr4/L4Zt/eEFUVhT/sBnqv6My7/AEvzF7Kq/KazBnCi3ruB+Gyb\noijUtzr4YH8zHxxoxuMLkGzUce2iEq66qIgk44fvYaTb5wv62XxyO2/Urqff68CsN3FVyeVcWrgE\nY4SPvIzH924kpH3xa7i21TT1smF3I7uPtOP1Dy4BnFyYyuIZucwuy4z5iVxyT3iMmhzN/K3mDQ52\nVmHQ6rlj6qdZnLdg3A+LxLKgolDX0s++Yx3sOtJOU4cTgHRbEp+8pJRL5+Srcg6wQavn0sIlLMq7\niPcaN/F23T/4a83rbGjYyLL8RSwtWEhakhyPKMRHlRWkUlaQysBVfnZXt7O5soWqum6ONg5ukFOQ\nZWHGhAxmTshgclEaSaOcVBkPhu0JB4NBHnzwQY4cOYLRaOS73/0uJSUlQ4+/8847PPHEE+j1elau\nXMltt9123guq9ZufN+DjcNcRPji5jUOdRwAoT5/E6ik3DzvLdTz/xqoGRVHo7vdwssNJQ7uDY429\nHG3sxTHgA0Cv01AxKYslM/OYOTHjvEesRbt9Lt8AGxo28l7jJgb8brQaLbOzpjPHPpOZmVMxG8xh\nu1YsvnfhJO2LX6NpW1efm51H2jl4oosj9d1DPWSdVkN+loXiHCslOTaKc2wU2q2Yk9XrQ0a1J7x+\n/Xq8Xi8vvPACe/fu5dFHH+Wpp54CwOfz8cgjj/DSSy9hMplYs2YNy5cvJysra0TFhZOiKAz4B+hy\n99Dp7qKur5ETffXU9tXjDQwurp6YWsI1pVcwPWOK9H6jyB8I4vYGcHv8uL0B+gd89Do99Dm89Dq9\n9Dg8tHS5ONnpwuM9/ci0zJRkKiZlMWdSJtNLMzAlxeYgjtlg4saJV3NVyeXsaNnNe42b2dteyd72\nSrQaLaUpRRTZCim2FZBjtpOWlEqK0SbzEMS4l5GSzFULirhqQRE+f4Dqxl4OnuiiuqGHxjYHDW0O\nNh1oGXq+OUlPVloyWakmslKTSbUasZoMp/1JNuoxGrQY9Vr0Om1M/rwf9ifZrl27WLZsGQAVFRVU\nVlYOPVZTU0NxcTGpqYPDbfPnz2fHjh1ce+21ESr3dO2uTn5/+AUcPgfegA9fwIcn6MUf9H/submW\nHGZlTmN+TgVFtvyo1Dde+ANBnvxLJe29AwQCCsGgQiAYxB9UCAQUAkEFnz+APzD89AOdVkNuppn8\nTAv5WYN/yvJTYv4e0ZmSdEYuKVjE0vyFNDtb2d9xkP0dh6jta+B4b91pz9WgIUmXhFFnwKA1YNQZ\nqLDP4oaJV6lUvRDqMuh1zCjNYEZpBgDBoEJzl4v61n7qWvpp6XLR0eumpctFfavjgl5Tw+AkMaNB\nh0GvRa/ToNVo0Gg0aDSg1WrQoEGrGfyF4Ms3zcCgj/wvx8OGsMPhwGr9cOmFTqfD7/ej1+txOBzY\nbB92sS0WCw7H+f+HpKeb0YepYc7uHnq9vQSUAEl6I7ZkC0adgbTkFLLMGWSZMyhNL2RSRikW49iG\nAc81lJAIxto2t9dPl8NDr8OLXqdFq9Wg12kxGgf/oeu0WowGLaYk/Wl/UixJpKckkW5LIt2WTJot\nCXuaCd15hpdHQ+33LpsU5kyYDNyE1++lrreJE931tDo66BzoocvVzYDfgzfgxev30efrZwDnBdWt\ndnKObTAAAAqTSURBVNsiTdoXv8LdtpycFCqm5Z72OUVR6HN6ae1y0dPvoc/poc/po9/lpc/pxe31\n4/UF8HgDeP1BPKG/+wL4A0ECwSBBZTDkFUUZ+rs/qJCWbjnvPJNwtW/YELZarTidzqGPg8Eger3+\nrI85nc7TQvlsurtdo631Yyyk8dDi+4d9nqs3gIvR33uRezfDe/BzYdjcJBikq8s5/PNGIBbfuzSy\nmJuaBcPM1xqu7lhsWzhJ++JXtNuWbtKTbtID4dsExNnvxtnvPutj4bwnPGyXY968eWzcuBGAvXv3\nUl5ePvRYWVkZdXV19PT04PV62blzJ3Pnzh1RYUIIIcR4NWxPeMWKFWzatInVq1ejKAoPP/ww69at\nw+VysWrVKu677z7uueceFEVh5cqV5OTkRKNuIYQQIu4NG8JarZaHHnrotM+VlZUN/X358uUsX748\n/JUJIYQQCS68M2CEEEIIccEkhIUQQgiVSAgLIYQQKpEQFkIIIVQiISyEEEKoREJYCCGEUImEsBBC\nCKESCWEhhBBCJRLCQgghhEo0iqIMf76cEEIIIcJOesJCCCGESiSEhRBCCJVICAshhBAqkRAWQggh\nVCIhLIQQQqhEQlgIIYRQiV7tAmKVz+fjG9/4Bk1NTXi9Xr785S9zxRVXqF1W2AQCAb75zW9y4sQJ\nNBoN3/72tykvL1e7rLDq7Ozklltu4be//S1lZWVqlxNWN998M1arFYDCwkIeeeQRlSsKr1/84he8\n8847+Hw+1qxZw6233qp2SWHx8ssv85e//AUAj8fD4cOH2bRpEykpKSpXFh4+n4/77ruPpqYmtFot\n3/nOdxLme8/r9XL//ffT0NCA1Wpl7dq1lJaWjvl1JYTP4ZVXXiEtLY3HHnuMnp4ebrrppoQK4Xff\nfReA559/nm3btvHjH/+Yp556SuWqwsfn87F27VqSk5PVLiXsPB4PiqLwzDPPqF1KRGzbto09e/bw\n3HPPMTAwwG9/+1u1SwqbW265hVtuuQWAb3/726xcuTJhAhjgvffew+/38/zzz7Np0yZ+8pOf8Pjj\nj6tdVli8+OKLmM1mXnzxRY4fP853vvMdfvOb34z5dWU4+hyuueYavvrVrwKgKAo6nU7lisLryiuv\n5Dvf+Q4AJ0+eTKgfBADf//73Wb16NdnZ2WqXEnZVVVUMDAxw9913c9ddd7F37161SwqrDz74gPLy\ncv75n/+ZL33pS1x22WVql/T/27u3kKq2PY7j37mVyrwkpUZZkBaCCYEJ2QJtpfiQ0oWV3bSWpOWD\nlqKlaKFdICkNkYpCMyKs6MFbgld8KDATNaISUssw8lKmKNpK07zsB2mdYu/2kdPcZ7LX/n+edDqY\n47cm4p8xnIy/6lpaWujo6GDv3r1aR1GVm5sbU1NTTE9PYzKZsLa2nHVeR0cHmzZtAsDd3Z03b96o\ncl/LeUIqs7W1BcBkMhEfH09CQoLGidRnbW1NSkoKtbW1XL58Wes4qikpKWHx4sX4+/tz/fp1reOo\nbsGCBRw6dIjdu3fz9u1boqOjqa6utpg/eENDQ/T29pKbm0t3dzcxMTFUV1ejKIrW0VSTl5fHkSNH\ntI6huoULF9LT00NwcDBDQ0Pk5uZqHUk1np6ePHjwgKCgIJ4/f05fXx9TU1O/vECTlfBfeP/+PRER\nEezYsYNt27ZpHedvkZmZSU1NDenp6YyOjmodRxXFxcU8fvwYo9FIa2srKSkp9Pf3ax1LNW5ubmzf\nvh1FUXBzc8PR0dGiPp+joyN+fn7MmzcPd3d35s+fz+DgoNaxVDMyMkJnZycbN27UOorqbt26hZ+f\nHzU1NZSVlZGamsr4+LjWsVQRGhqKnZ0d4eHh1NbW4uXlpcoOqRThnxgYGCAqKork5GR27dqldRzV\n3b9/n7y8PABsbGxQFIXffrOMX4e7d+9y584dbt++jaenJ5mZmTg7O2sdSzVFRUVcuHABgL6+Pkwm\nk0V9Ph8fH+rq6piZmaGvr4+xsTEcHR21jqWa5uZmdDqd1jH+Fg4ODtjb2wOwaNEiJicnmZqa0jiV\nOlpaWtDpdNy7d48tW7awcuVKVe4rDRx+4ty5c1RVVeHu7m6+lp+fbzEv+oyOjnLixAkGBgaYnJwk\nOjqaoKAgrWOpzmg0cubMGYt5QxP+85Zmb28viqKQlJTE+vXrtY6lqqysLBobG5mZmSExMRF/f3+t\nI6nmxo0bWFtbc/DgQa2jqO7z58+cPHmS/v5+vn79SkREhMXsIg4ODnLs2DHGxsawt7cnIyODpUuX\n/vJ9pQgLIYQQGrGM/UchhBDiH0iKsBBCCKERKcJCCCGERqQICyGEEBqRIiyEEEJoRIqwEBboypUr\nv3xmb3R0NH19fX+4bjQaaWxs5NOnT8TGxgLQ3d1NYGDgL80nxL+RZZxzJ4RQXX5+/l/+fHh4mLa2\ntv9TGiEsk6yEhdDIhw8fOHDgADt37mTXrl08e/aMFy9eEBYWhsFgICoqiq6uLmB29Xn69GkMBgMh\nISE8evQIgFevXmE0GgkNDSUgIICCgoI5zX3z5k0uXrwIQH19Pd7e3kxOTgIQEhLCwMAAgYGBdHd3\nMzExQXJyMsHBwRw+fJihoSFg9kCbjx8/ms9A/vLlC4mJiWzdupXw8HDzOCHEz0kRFkIjRUVFbN68\nmZKSEpKTk2lubiYtLY3s7GxKS0uJjIwkPT3dPH5iYoLS0lKys7NJTU1lYmKCwsJCYmNjKS4upqCg\ngJycnDnNrdfraWhoAKChoQEbGxtevnxJV1cXtra2ODk5mcd+a5lYVVVFWloa7969AyAtLQ0XFxeu\nXr0KzJ4oFBkZSXl5OU5OTlRWVqrynISwZLIdLYRGdDodcXFxtLa2otfr0ev1XLt2jZiYGPMYk8lk\n/nrPnj3AbDcXZ2dn2tvbSU1Npa6ujry8PNrb2+fchGP16tWYTCaGh4d58uQJ+/fvp6mpCRsbG/R6\n/Q9jm5qazC33Vq1ahbe395/e08XFhXXr1gGwZs0aWQkLMQdShIXQiI+PDxUVFTx8+JDKykoKCwtZ\nsWIFZWVlAExNTTEwMGAe/33HlunpaaytrUlISMDBwYGAgABCQkKoqKiY8/z+/v7U1taiKAoBAQFc\nunQJRVGIi4v7YZyiKExPT5u//1nLxO+vK4qCnIgrxH8n29FCaCQrK4uysjIMBgOnTp2ira3NvDKF\n2ZaMSUlJ5vHftndbWloYGRnBw8OD+vp64uPjCQoKorm5GWDOXWv0ej15eXn4+Pjg6elJR0cHnZ2d\neHl5/TBOp9NRXl7O9PQ0PT09PH36FJgtut/+jyyE+N/ISlgIjRiNRo4fP05paSlWVlacPXuWZcuW\nkZGRwfj4OHZ2dmRmZprHd3V1YTAYAMjJycHKyoq4uDjCw8NxcHDAzc0NV1dXuru75zS/r68v/f39\nbNiwAUVRWLt27Z+2DAwPD+f169cEBwfj6uqKh4cHAEuWLGH58uUYjUbOnz+vwhMR4t9HuigJ8Q9g\nNBo5evQovr6+WkcRQqhIVsJCWDCj0cjIyMgfru/bt4+wsDANEgkhvicrYSGEEEIj8mKWEEIIoREp\nwkIIIYRGpAgLIYQQGpEiLIQQQmhEirAQQgihESnCQgghhEZ+B8EtXr/ObriqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ce82518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(iris.sepal_length,bins = 20,hist=False,label = \"Length\")\n",
    "sns.distplot(iris.sepal_width,bins = 20,hist = False,label=\"Width\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting bivariate distributions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length    float64\n",
       "sepal_width     float64\n",
       "petal_length    float64\n",
       "petal_width     float64\n",
       "species          object\n",
       "dtype: object"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x11af5e9e8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GREQJJKwjpBtvvBFWqxV33HEHli9fjuuuu07ruoiIKMGE1ZCefvppvP/++/jr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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b1b8ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 返回的结果是散点图，以及两个变量的直方图\n",
    "sns.jointplot(x = \"sepal_length\",y = \"sepal_width\",data=iris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x11b7c24a8>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VismTJ2P79u1ylUEhyBVGRypcoj7kxrAlvRqSl4ygAOw/2qB0KZKRJVbXr1+P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\nIYRwCxJIQggh3MIfkmTNSKHzwYsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b7c26a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x = \"sepal_length\",y = \"sepal_width\",data=iris,kind = 'kde')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing pairwise relationships in a dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x11b81c7f0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LFyHbFwa5XIbztmnsaquILFHtaivHybNjrG3MstWwy4PrN1ehs8cV2XawcwhP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g2+UrEIkg3t5Uo0S5UYvTgxdj29bVleL/vN+bVN+dO+tx4vRonDVquakApwcuxm1r21AhqQ/w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\nf3ANNXvR/zqaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ba78e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(iris)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting with categorical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6+B0OAIC/owM1r74iOBEN1OgJ6UhItna1zVEmXa7TZtFWWW5mrKIvMYZDdFpR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\nRKQRLNpEREQawaJNRESkEf8f1DObMFQcXdsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cd7ef98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RaCQ8/MT/Q1paTN4ITwivuenCUYxOj6S22cSU3DhyksJkQqUfFDfv48XCVzDbuwjWBPOj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\ng1JTv7yW8JkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3a20048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips, jitter=True,hue = \"smoker\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cHHZewbO/wLW/AiUYxDZvgXyBjgIet4+AP4g5bvA4hVgxbPO0h5uEthDiVATd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\nQVV9AKwhIpYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11cd68080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# POINT不会重叠\n",
    "sns.swarmplot(x=\"day\", y=\"total_bill\", data=tips);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "total_bill     float64\n",
       "tip            float64\n",
       "sex           category\n",
       "smoker        category\n",
       "day           category\n",
       "time          category\n",
       "size             int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e3f2939080>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+/PJL3X333UpJSdHWrVsVCATUpEkT5ebm6vPPP1dmZqaWLVumoUOH6tlnn1VB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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f286bac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"tip\", y=\"day\",hue = \"smoker\", data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "?sns.barplot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing linear relationships"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e3f3a77b38>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cDuSyg2/1WPpxsx8S0JIGAK3Aivm1mnD765KgX5d6/7g08Whulg/GgGhMxsBo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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3a72978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1HhNByxEH9HkMXB2ZaMqjoiiQFUCRFSwty0MgbKyelKIo+KR5AIc/ah3Xg7+p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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3c60e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anscombe = sns.load_dataset(\"anscombe\")\n",
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'I'\"),\n",
    "            scatter_kws={\"s\": 80});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AFk6KhpuSbcodHQOXyE78eLEa27ML0NFpblPu5+2GFbMTMCymr8SVkbUwcElyt7bEbtMZ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3cd8d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n",
    "           ci=None, scatter_kws={\"s\": 80});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BggXYtWuX2PXJisvtxbYvzgAANGolvnNztsQVEVEoddrD3bJlC7Zt24b6+nrc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\nJfjLlpwbKjYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3d645c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'II'\"),\n",
    "           order=2, ci=None, scatter_kws={\"s\": 80});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VgSEnv9YQtg8rq2lBTn4tpo0PMes1RQ3cwMBAbN++XcxLEtEglde2YHtWPm5VGd8miI/w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\n/weZbYIQZEtWcgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3e209e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'III'\"),\n",
    "           ci=None, scatter_kws={\"s\": 80});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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V0GvVUMhlMFvsfptjMGHgElEP1fXt2Jtv7FGsoJDLEK1TI06v8bilEKNT+2OaQUdo4Nps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\nZgY6PEEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f3edbe10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"x\", y=\"y\", data=anscombe.query(\"dataset == 'III'\"),\n",
    "           robust=True, ci=None, scatter_kws={\"s\": 80});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1e3f3f12668>"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oZ+2KerQS/qxmyxtvvMH/+B//A0VRuP766zl8+DAbNmzg2LFj7Nq1i0gkwjvv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\nqS5EZ2fp/phaq7b4Tb7KqqIvFwetMQ0L2/Z6dhvq1g97XcF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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e3f403dba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x=\"total_bill\", y=\"tip\", hue=\"smoker\", data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
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    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
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   "version": "3.7.0"
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   "eqLabelWithNumbers": true,
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   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": false,
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   "toc_position": {
    "height": "321px",
    "left": "1025px",
    "right": "192px",
    "top": "117px",
    "width": "498px"
   },
   "toc_section_display": "none",
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
